Omar Younis
Member Of Technical Staff at Mila - Quebec Artificial Intelligence Institute
United States
Summary
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Rockstar🎓
Top SchoolOmar Younis is a research-driven software engineer with 7 years of experience building and improving reinforcement learning systems, currently contributing at the intersection of industry and academia as a Member of Technical Staff at Silverstream AI and a Research Engineer at Mila. His work spans foundational RL and generative flow networks for robotics, with prior projects in genomic selection and embodied AI for humanoid robots, demonstrating a strong applied-research background. An active open-source contributor, he improved rendering, GUI, and video-recording features in the widely used OpenAI Gym/Gymnasium toolkits, adding practical tooling that benefits RL experiment reproducibility and developer ergonomics. Comfortable across full-stack development, QA, and research engineering, he combines hands-on code contributions with rigorous testing and environment design. He holds a Master’s in Artificial Intelligence from the University of Bologna and completed a distributed deep learning thesis at EPFL, reflecting both theoretical depth and systems-level engineering.
7 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer engineering, Bachelor's degree, Computer engineering at Università degli Studi di BresciaMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Alma Mater Studiorum – Università di BolognaVisiting Student, Master Thesis, Distributed optimization for Deep Learning, Visiting Student, Master Thesis, Distributed optimization for Deep Learning at EPFL
Github Skills (10)
gymnasium10
openai-gym10
pygame10
python10
reinforcement-learning10
human-interface9
graphical-user-interface9
api9
user-interface9
moviepy9
Programming languages (6)
Github contributions (5)
openai/gym
Feb 2022 - Oct 2022
A toolkit for developing and comparing reinforcement learning algorithms.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:36 reviews, 23 commits, 26 PRs in 8 months
Contributions summary:Omar primarily contributed to enhancing the `gym/envs/toy_text/frozen_lake.py` environment by integrating a Pygame-based GUI. This involved adding visual elements, dynamic window sizing, and image improvements. Further contributions included adding support for `rgb_array` rendering, refactoring, and resolving documentation and render API issues across multiple environments. They demonstrated proficiency in modifying and extending existing reinforcement learning environments within the Gym toolkit.
comparingreinforcement-learning-algorithmsdevelopingdeep-learningreinforcement-learning
Farama-Foundation/Gymnasium
Nov 2022 - Jan 2023
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Role in this project:Back-end Developer / QA Engineer
Back-end Developer / QA EngineerContributions:10 reviews, 7 commits, 16 PRs in 2 months
Contributions summary:Omar primarily contributed to improving the functionality and quality of the `gymnasium` library. They addressed bugs related to video recording features by removing an auto-close function and resolving rendering warnings, and also implemented a new `RecordVideoV0` wrapper. Additionally, the user made enhancements to environment registration and testing frameworks, reflecting a focus on both feature development and improving the testing and quality assurance aspects of the library.
apiagentreinforcement-learningreinforcement-learning-agentgymnasium
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